Unsupervised phenotyping of Severe Asthma Research Program participants using expanded lung data.
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D. Curran‐Everett | W. Busse | E. Bleecker | E. Israel | K. Chung | S. Wenzel | Wei Wu | W. Moore | S. Erzurum | W. Calhoun | M. Castro | B. Gaston | D. Curran-Everett | K. Chung
[1] J. Just,et al. Exhaled nitric oxide measurement confirms 2 severe wheeze phenotypes in young children from the Trousseau Asthma Program. , 2012, The Journal of allergy and clinical immunology.
[2] J. Just,et al. Novel severe wheezy young children phenotypes: boys atopic multiple-trigger and girls nonatopic uncontrolled wheeze. , 2012, The Journal of allergy and clinical immunology.
[3] S. Wenzel. Asthma phenotypes: the evolution from clinical to molecular approaches , 2012, Nature Medicine.
[4] I. Annesi-Maesano,et al. Two novel, severe asthma phenotypes identified during childhood using a clustering approach , 2012, European Respiratory Journal.
[5] V. Siroux,et al. The investigation of asthma phenotypes , 2011, Current opinion in allergy and clinical immunology.
[6] A. Gounni,et al. The Molecular Mechanisms of Glucocorticoids-Mediated Neutrophil Survival , 2011, Current drug targets.
[7] Mario Castro,et al. Heterogeneity of severe asthma in childhood: confirmation by cluster analysis of children in the National Institutes of Health/National Heart, Lung, and Blood Institute Severe Asthma Research Program. , 2011, The Journal of allergy and clinical immunology.
[8] Florence Demenais,et al. A large-scale, consortium-based genomewide association study of asthma. , 2010, The New England journal of medicine.
[9] D. Curran‐Everett,et al. Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program. , 2010, American journal of respiratory and critical care medicine.
[10] Mike Thomas,et al. Cluster analysis and clinical asthma phenotypes. , 2008, American journal of respiratory and critical care medicine.
[11] D. Curran‐Everett,et al. Characterization of the severe asthma phenotype by the National Heart, Lung, and Blood Institute's Severe Asthma Research Program. , 2007, The Journal of allergy and clinical immunology.
[12] Huan Liu,et al. Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..
[13] S. Wenzel,et al. Distinguishing severe asthma phenotypes: role of age at onset and eosinophilic inflammation. , 2004, The Journal of allergy and clinical immunology.
[14] S. Dudoit,et al. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS , 2002 .
[15] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[16] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[17] S. Spector,et al. Proceedings of the ATS workshop on refractory asthma: current understanding, recommendations, and unanswered questions. American Thoracic Society. , 2000, American journal of respiratory and critical care medicine.
[18] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[19] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[20] Welch Bl. THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .